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This data set consists of monthly averages of soil and litter properties. Rows are grouped in the following order: year, month, vegetation type, plot ID. Within a single month five plots were sampled within each of the 2 vegetation types (10 plots total). Columns F+ represent individual measurements.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Mississippi River,
Nitrogen cycling,
Pool 8,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
Aerial imagery for the Upper Mississippi River System (UMRS) Navigational Pool 5 drawdown follow-up was collected in true color (TC) in August of 2015 at 6”/pixel using a mapping-grade Applanix DSS 439 digital aerial camera. All TC aerial images were orthorectified, mosaicked, and compressed into a JPEG2000-format image. The TC aerial images were interpreted and automated using a genus-level 150-class Long Term Resource Monitoring (LTRM) vegetation classification. The 2015 vegetation database was prepared by or under the supervision of competent and trained professional staff using documented standard operated procedures.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aerial imagery,
Aquatic vegetation,
Floodplain,
Image interpretation,
Land cover/land use,
This dataset includes high-frequency sensor data collected during four consecutive summers from buoys deployed at main channel and backwater sites in Pool 8 of the Upper Mississippi River from 2015-2018. It also includes the event-specific concentration-discharge metrics (hysteresis and slope) calculated by combining the water quality sensor data with discharge data from a nearby USGS gage in Winona, MN (05378500). High-frequency sensor data were collected using water quality buoys (PISCES monitoring platforms; EMM350 Water Monitoring Pontoon Platform | ysi.com | ysi.com; Yellow Springs, Ohio) set up with EXO2 Multiparameter Sondes (YSI, Inc, Yellow Springs, Ohio) to monitor hourly or bi-hourly concentrations of...
Categories: Data;
Tags: Mississippi River,
USGS Science Data Catalog (SDC),
Water Quality,
chlorophyll a,
dissolved organic matter,
A geodatabase was developed to compile mapped abundance raster datasets for 25 species/species groups (e.g., all duckweeds combined) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019. Individual rasters within the geodatabase have scores ranging from 0 (species modeled to be absent at that raster cell) to 100 (highest possible mapped abundance probability at that raster cell). Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum...
These data was collected in conjuction with Upper Mississippi River Restoration-Long Term Resource Monitoring (UMRR-LTRM) element data. The goal of this data collection was to assess age structure of smallmouth buffalo Ictiobus bubalus in the Upper Mississippi River system. Through ongoing UMRR-LTRM efforts, we collected fish with a goal 10 smallmouth buffalo from 20mm length groups, beginning at 100mm of total length. Upon collection fish were measured, weighed and frozen, then transported to the Illinois River Biological Station in Havana Illinois. Upon completion of fish collection, fish were thawed and both lapillus otoliths were removed and a sex determination was made via visual inspection of the gonads. Lapillus...
To assess the flooding tolerance of Sagittaria latifolia and S. rigida, we assessed three levels of timing of inundation (early- [11 June], mid- [12 July], late-season [12 August]), three levels of duration (short [1 day], mid [5 days], long [10 days]), and four levels of depth (reference plant not treated, shallow [5 cm], moderate [20 cm], deep [45 cm]) on survival and productivity of Sagittaria plants. Plants were produced from seeds of S. latifolia and S. rigida, and from S. latifolia tubers. Sagittaria plants were reared in six 50 m2 outdoor concrete ponds at the USGS Upper Midwest Environmental Sciences Center in La Crosse, Wisconsin, USA, and subjected to various levels of inundation throughout the growing...
The Long Term Resource Monitoring (LTRM) program employs a destructive harvest method for sampling aquatic vegetation whereby a rake is dragged ~1.5 m over the substrate and plant materials are retrieved. The density of each species of submersed aquatic vegetation (SAV), and of all species combined, are scored based on the amount of plant material collected on the teeth of each rake. Plant density (PD) scores are ordered and vary from 0 (no plants captured) to 5 (80-100% of rake teeth covered). The PD score of 1 has represented the vast majority of all non-zero values since 1998 and is associated with a wide range of biomass (e.g. <1g to 694g fresh weight in Pools 4 and 8 during the 2017 field season). However,...
From 1994-1997 I surveyed breeding birds and sampled vegetation at 391 random points on UMR floodplain forest along a latitudinal gradient to characterize bird assemblages and associations with gradients in forest structure at the local survey point and land cover composition within 200m radius of survey points (landscape scale). We conducted 10 minute 50m fixed radius point counts (Ralph et al. 1993) to survey birds during the breeding period between 30 May and 10 July in all years. We sampled the southernmost pool (13) first and then progressed to each pool in succession northward, finishing in Pool 4, sampling each point once a season. Surveys were conducted from 30 minutes before to five hours after local sunrise....
The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting missing values in a long-term water quality data set from the upper Mississippi River, USA.
Categories: Data;
Tags: Information Sciences,
Mississippi River,
North America,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
Transects in backwaters of Navigation Pools 4 and 8 of the Upper Mississippi River (UMR) were established in 1997 to measure sedimentation rates. Annual surveys were conducted from 1997-2002 and then some transects surveyed again in 2017-18. Changes and patterns observed were reported on in 2003 for the 1997-2002 data, and a report summarizing changes and patterns from 1997-2017 will be reported on at this time. Several variables are recorded each survey year and placed into an Excel spreadsheet. The spreadsheets are read with a SAS program to generate a SAS dataset used in SAS programs to determine rates, depth loss, and associations between depth and change through regression.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Erosion,
Mississippi River,
Navigational Pool,
Sedimentation,
USGS Science Data Catalog (SDC),
These georeferenced thermal infrared images of Mississippi River navigation Pool 8 were collected at 0.5 meters/pixel on November 20, 2017, using a mid-wave infrared camera (SC8343, FLIR Systems, Inc., Nashua, NH). This camera was mounted in a Partenavia P68 Observer aircraft and flown at 915m above ground level using a 25mm lens. GPS and inertial measurement unit (IMU) sensors tracked horizontal and vertical position and the IMU tracked sensor orientation (roll, pitch, and heading). These values, along with a 10 meter/pixel resolution digital elevation model, allowed us to orthorectify each frame of thermal imagery to the earth. These orthoimages were then mosaicked into a single mosaic images for the entire pool.
A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool adjusted R-squared outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover...
A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool standard error outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover...
Geodatabases were developed to compile mapped relative abundance raster data sets for 25 species/species groups, and also Curve Fit regression tool adjusted R-squared, standard error, y-intercept, and slope spatial outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019.
This dataset includes otolith and water chemistry used for determining natal origins of individuals from six species. The dataset contains Sr:Ca and Ba:Ca of water samples for the Mississippi River and tributaries as well as otolith Sr, Ba, Mg values from fishes collected in navigation pools 4, 8, 13, and 26 of the Upper Mississippi River, as well as the Open River Reach of the Middle Mississippi River and the La Grange Pool of the Illinois River. Fishes included Bullhead Minnow, Emerald Shiner, Gizzard Shad, Bluegill, Orangespotted Sunfish, and Yellow Perch. Laser ablation inductively coupled mass spectrometry to quantify natal origins of these prey fish. Upwards of 50-75% of individuals at a given river reach...
We evaluated bird foraging preferences for tree species during spring migration 2010-2013. We used the point center-quarter method to assess relative availability (tree importance values, IV) of tree species and tallied bird foraging observations on tree species as well as recording the phenophase of used trees on five 40 ha plots of contiguous floodplain forest between La Crosse, Wisconsin, and New Albin, Iowa, from 15 April through 1 June 2010-2013. We quantified bird preferences by comparing proportional use of tree species by each bird species to estimates of tree species availability (IV) for all four years and for each year separately. Bird data records contain the plot identity, date, time of the observation,...
Categories: Data;
Types: Citation;
Tags: Houston County, MN,
La Crosse,
La Crosse County, WI,
Minnesota,
Upper Mississippi,
We sampled vegetation and breeding birds in Upper Mississippi River floodplain forest edge and interior areas to (1) measure Phalaris cover and (2) evaluate if the breeding bird assemblage responded to differences in Phalaris cover or other forest structure variables. Data are counts of birds collected during 3 surveys within 50m at each site using 10 minute point count methods. Vegetation was sampled using a releve technique at the bird count point within 10m of the point.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Breeding songbirds,
Dakota,
Floodplain Forest,
Goodhue,
Mississippi River,
Estimation of submersed aquatic vegetation (SAV) biomass was evaluated using field data collected in 2017, and targeted analyses of three existing data sets: 1) Yin and Kreiling (2001), Drake et al. (2016), and 3) LTRM vegetation data (1998 – 2017). Two field studies were completed in 2017. The first targeted SAV biomass in raked plots and was conducted in collaboration with USFWS annual Lake Onalaska Vallisneria americana monitoring. In the second study, fresh weights of raked SAV were recorded at approximately 10% of LTRM Pools 4 and 8 2017 sampling sites.
Categories: Data;
Tags: Biomass,
Mississippi River,
Mississippi River,
Submersed Aquatic Vegetation,
USGS Science Data Catalog (SDC),
This set of non-spatial tables provides a detailed link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Illinois,
Iowa,
LCU,
Land Cover/Use,
Long Term Resource Monitoring,
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 2020 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the areas classified...
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